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AI Engineering Lab

A collection of AI applications, agentic workflows, and LLM architectures built using modern AI frameworks. This repository focuses on turning concepts into practical, scalable AI systems.


Projects

A production-ready Retrieval-Augmented Generation (RAG) system with a multi-stage reasoning graph.

  • Orchestration: LangGraph
  • Core Stack: FastAPI, ChromaDB, Ollama, Streamlit
  • Key Features: Input domain guardrails, hybrid retrieval, and hallucination checks.

Tech Stack

  • Frameworks: LangChain, LangGraph, FastAPI
  • Models: Support for Local LLMs using Ollama
  • Vector Stores: ChromaDB
  • Observability: LangSmith

Repository Structure

.
├── RAG/                    # Modular RAG System
│   ├── app/                # Backend API & Logic
│   ├── pipeline/           # Data Ingestion
│   └── frontend/           # Streamlit UI
└── ...                     # More Agentic workflows coming soon

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